Imran Naseem

According to our database, Imran Naseem authored at least 51 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fully supervised contrastive learning in latent space for face presentation attack detection.

Madini O. Alassafi, Muhammad Sohail Ibrahim, Imran Naseem, Rayed AlGhamdi, Reem Alotaibi, Faris A. Kateb, Hadi Oqaibi, Abdulrahman A. Alshdadi, Syed Adnan Yusuf

Appl. Intell., October, 2023

Multi-Kernel Fusion for RBF Neural Networks.

Syed Muhammad Atif, Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Neural Process. Lett., April, 2023

A novel quantum calculus-based complex least mean square algorithm (q-CLMS).

Alishba Sadiq, Imran Naseem, Shujaat Khan, Muhammad Moinuddin, Roberto Togneri, Mohammed Bennamoun

Appl. Intell., 2023

Reverse Image Search for Collage: A Novel Local Feature-Based Framework.

Muhammad Zubair, Muhammad Affan Alim, Imran Naseem, Muhammad Mansoor Alam, Mazliham Mohd Su'ud

IEEE Access, 2023

Anticancer Peptides Classification Using Kernel Sparse Representation Classifier.

Ehtisham Fazal, Muhammad Sohail Ibrahim, Seongyong Park, Imran Naseem, Abdul Wahab

IEEE Access, 2023

A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection.

Madini O. Alassafi, Muhammad Sohail Ibrahim, Imran Naseem, Rayed AlGhamdi, Reem Alotaibi, Faris A. Kateb, Hadi Oqaibi, Abdulrahman A. Alshdadi, Syed Adnan Yusuf

IEEE Access, 2023

2022

Performance Analysis of Fractional Learning Algorithms.

Abdul Wahab, Shujaat Khan, Imran Naseem, Jong Chul Ye

IEEE Trans. Signal Process., 2022

Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer's Disease.

Alishba Sadiq, Norashikin Yahya, Tong Boon Tang, Hilwati Hashim, Imran Naseem

Sensors, 2022

Energy-efficient SSD-LMS algorithm for state-space estimation in distributed networks.

Muhammad Arif, Imran Naseem, Muhammad Moinuddin, Abdulrahman U. Alsaggaf, Ubaid M. Al-Saggaf

Digit. Signal Process., 2022

Diffusion Quantum-Least Mean Square Algorithm with Steady-State Analysis.

Muhammad Arif, Muhammad Moinuddin, Imran Naseem, Abdulrahman U. Alsaggaf, Ubaid M. Al-Saggaf

Circuits Syst. Signal Process., 2022

Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links.

Muhammad Arif, Saba Samreen Khan, Syed Safi Uddin Qadri, Imran Naseem, Muhammad Moinuddin

Circuits Syst. Signal Process., 2022

Robust Incremental Least Mean Square Algorithm With Dynamic Combiner.

Syed Safi Uddin Qadri, Muhammad Arif, Imran Naseem, Muhammad Moinuddin

IEEE Access, 2022

Risk Analysis of Dynamic Positioning Systems based on Incident Data.

Imran Naseem, Yi Liu Liu

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

2021

Robust image hashing based on structural and perceptual features for authentication of color images.

Muhammad Farhan Khan, Syed Muhammad Monir, Imran Naseem

Turkish J. Electr. Eng. Comput. Sci., 2021

q-RBFNN: A Quantum Calculus-based RBF Neural Network.

Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

CoRR, 2021

Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks.

Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi, Imran Naseem

Comput. Networks, 2021

Adaptive just-noticeable difference profile for image hashing.

Muhammad Farhan Khan, Syed Muhammad Monir, Imran Naseem, Bilal Muhammad Khan

Comput. Electr. Eng., 2021

2019

Enhanced <i>q</i>-least Mean Square.

Alishba Sadiq, Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Circuits Syst. Signal Process., 2019

Improved Optimum Error Nonlinearities Using Cramer-Rao Bound Estimation.

Muhammad Arif, Imran Naseem, Muhammad Moinuddin, Muhammad Nasir Iqbal

Circuits Syst. Signal Process., 2019

Modified Incremental LMS with Improved Stability via Convex Combination of Two Adaptive Filters.

Muhammad Arif, Imran Naseem, Muhammad Moinuddin, Ubaid M. Al-Saggaf

Circuits Syst. Signal Process., 2019

Heart Segmentation From MRI Scans Using Convolutional Neural Network.

Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Usman, Imran Naseem, Muhammad Moinuddin

CoRR, 2019

Spatio-Temporal RBF Neural Networks.

Shujaat Khan, Jawwad Ahmad, Alishba Sadiq, Imran Naseem, Muhammad Moinuddin

CoRR, 2019

q-LMF: Quantum Calculus-Based Least Mean Fourth Algorithm.

Alishba Sadiq, Muhammad Usman, Shujaat Khan, Imran Naseem, Muhammad Moinuddin, Ubaid M. Al-Saggaf

Proceedings of the Fourth International Congress on Information and Communication Technology, 2019

2018

RAFP-Pred: Robust Prediction of Antifreeze Proteins Using Localized Analysis of n-Peptide Compositions.

Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

The most discriminant subbands for face recognition: A novel information-theoretic framework.

Muhammad Affan Alim, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Int. J. Wavelets Multiresolution Inf. Process., 2018

A Fractional Gradient Descent-Based RBF Neural Network.

Shujaat Khan, Imran Naseem, Muhammad Ammar Malik, Roberto Togneri, Mohammed Bennamoun

Circuits Syst. Signal Process., 2018

A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks.

Shujaat Khan, Jawwad Ahmad, Imran Naseem, Muhammad Moinuddin

Circuits Syst. Signal Process., 2018

Comments on "Momentum fractional LMS for power signal parameter estimation".

Shujaat Khan, Imran Naseem, Alishba Sadiq, Jawwad Ahmad, Muhammad Moinuddin

CoRR, 2018

Enhanced q-Least Mean Square.

Shujaat Khan, Alishba Sadiq, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

CoRR, 2018

2017

A Novel Adaptive Kernel for the RBF Neural Networks.

Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Circuits Syst. Signal Process., 2017

A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm.

Shujaat Khan, Muhammad Usman, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

CoRR, 2017

Iris recognition using class-specific dictionaries.

Imran Naseem, Affan Aleem, Roberto Togneri, Mohammed Bennamoun

Comput. Electr. Eng., 2017

Two-dimensional optimum error nonlinearity for image denoising.

Muhammad Arif, Imran Naseem, Syed Safi Uddin Qadri, M. Moinnudin

Proceedings of the First International Conference on Latest trends in Electrical Engineering and Computing Technologies, 2017

State-space fractional-least mean square algorithm.

Muhammad Arif, Imran Naseem, Muhammad Moinuddin

Proceedings of the First International Conference on Latest trends in Electrical Engineering and Computing Technologies, 2017

VP-FLMS: A Novel Variable Power Fractional LMS Algorithm.

Shujaat Khan, Muhammad Usman, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Proceedings of the Ninth International Conference on Ubiquitous and Future Networks, 2017

FLMF: Fractional least mean fourth algorithm for channel estimation in non-Gaussian environment.

Shujaat Khan, Naveed Ahmed, Muhammad Ammar Malik, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Proceedings of the International Conference on Information and Communication Technology Convergence, 2017

2016

Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images.

Salman Hameed Khan, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri, Imran Naseem

Int. J. Comput. Vis., 2016

2013

A simple approach to evaluate the ergodic capacity and outage probability of correlated Rayleigh diversity channels with unequal signal-to-noise ratios.

Muhammad Moinuddin, Imran Naseem

EURASIP J. Wirel. Commun. Netw., 2013

A novel information theoretic approach to wavelet feature selection for texture classification.

Imran Naseem, Duc-Son Pham, Svetha Venkatesh

Comput. Electr. Eng., 2013

2012

Robust regression for face recognition.

Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Pattern Recognit., 2012

Robust face recognition using fusion of multiscale experts.

Imran Naseem, Muhammad Affan Alim

Proceedings of the Fourth International Conference on Digital Image Processing, 2012

2010

Linear Regression for Face Recognition.

Imran Naseem, Roberto Togneri, Mohammed Bennamoun

IEEE Trans. Pattern Anal. Mach. Intell., 2010

A novel speaker identification algorithm using classifiers fusion.

Mohamed A. Deriche, Imran Naseem

Proceedings of the 10th International Conference on Information Sciences, 2010

Sparse Representation for Speaker Identification.

Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Face identification using linear regression.

Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Proceedings of the International Conference on Image Processing, 2009

Sparse Representation for Video-Based Face Recognition.

Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Proceedings of the Advances in Biometrics, Third International Conference, 2009

2008

Sparse Representation for Ear Biometrics.

Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

User Verification by Combining Speech and Face Biometrics in Video.

Imran Naseem, Ajmal S. Mian

Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

2007

A New Approach to Face Localization in the HSV Space Using the Gaussian Model.

Mohamed A. Deriche, Imran Naseem

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007

2006

A New Algorithm For Speaker Identification Using The Dempster-Shafer Theory Of Evidence.

Imran Naseem, Mohamed A. Deriche

Proceedings of the 2006 International Conference on Image Processing, 2006

2005

Robust human face detection in complex color images.

Imran Naseem, Mohamed A. Deriche

Proceedings of the 2005 International Conference on Image Processing, 2005